# 2025-07-14 最新主流模型能力速览（含 Claude 系列）
OpenAI:
  gpt-5:
    description: GPT-5 is our flagship model for coding, reasoning, and agentic tasks across domains
    capabilities: [TEXT, IMAGE_INPUT, FUNCTION_CALLING, STRUCTURED_OUTPUT]
    url: https://platform.openai.com/docs/models/gpt-5
    context_length: 400000
    max_output_tokens: 128000
    prices:
      input: 1.25
      cached: 0.125
      output: 10.00

  gpt-5-mini:
    description: GPT-5 mini is a faster, more cost-efficient version of GPT-5. It's great for well-defined tasks and precise prompts
    capabilities: [TEXT, IMAGE_INPUT, FUNCTION_CALLING, STRUCTURED_OUTPUT]
    url: https://platform.openai.com/docs/models/gpt-5-mini
    context_length: 400000
    max_output_tokens: 128000
    prices:
      input: 0.25
      cached: 0.025
      output: 2.00

  gpt-5-nano:
    description: GPT-5 Nano is our fastest, cheapest version of GPT-5. It's great for summarization and classification tasks
    capabilities: [TEXT, IMAGE_INPUT, FUNCTION_CALLING, STRUCTURED_OUTPUT]
    url: https://platform.openai.com/docs/models/gpt-5-nano
    context_length: 400000
    max_output_tokens: 128000
    prices:
      input: 0.05
      cached: 0.005
      output: 0.40

  gpt-4.1:
    description: Flagship GPT model for complex tasks
    capabilities: [TEXT, IMAGE_INPUT, FUNCTION_CALLING, STRUCTURED_OUTPUT]
    context_length: 1047576
    max_output_tokens: 32768
    prices:
      input: 2.00
      cached: 0.50
      output: 8.00

  gpt-4.1-mini:
    description: Balanced for intelligence, speed, and cost
    capabilities: [TEXT, IMAGE_INPUT, FUNCTION_CALLING, STRUCTURED_OUTPUT]
    context_length: 1047576
    max_output_tokens: 32768
    prices:
      input: 0.40
      cached: 0.10
      output: 1.60

  gpt-4.1-nano:
    description: Fastest, most cost-effective GPT-4.1 model
    capabilities: [TEXT, IMAGE_INPUT, FUNCTION_CALLING, STRUCTURED_OUTPUT]
    context_length: 1047576
    max_output_tokens: 32768
    prices:
      input: 0.10
      cached: 0.025
      output: 0.40

  o4-mini:
    description: Faster, more affordable reasoning model
    capabilities: [TEXT, IMAGE_INPUT, FUNCTION_CALLING, STRUCTURED_OUTPUT, REASONING]
    context_length: 200000
    max_output_tokens: 100000
    prices:
      input: 1.10
      cached: 0.275
      output: 4.40

  o3:
    description: Use it to think through multi-step problems that involve analysis across text, code, and images
    capabilities: [TEXT, IMAGE_INPUT]
    context_length: 200000
    max_output_tokens: 100000
    prices:
      input: 2.00
      cached: 0.50
      output: 8.00

Google:
  gemini-2.5-pro:
    description: state-of-the-art thinking model, capable of reasoning over complex problems in code, math, and STEM, as well as analyzing large datasets, codebases, and documents using long context
    capabilities: [TEXT, IMAGE_INPUT, VIDEO_INPUT, AUDIO_INPUT, AUDIO_OUTPUT, FUNCTION_CALLING, NATIVE_SEARCH]
    context_length: 1048576
    max_output_tokens: 65536

  gemini-2.5-flash:
    description: 文本+图片+视频输入；超长文档理解（2 M token），函数调用
    capabilities: [TEXT, IMAGE_INPUT, VIDEO_INPUT, AUDIO_INPUT, AUDIO_OUTPUT, FUNCTION_CALLING]
    context_length: 1048576
    max_output_tokens: 65536

xAI:
  grok-4:
    description: offering unparalleled performance in natural language, math and reasoning
    capabilities: [TEXT, IMAGE_INPUT, FUNCTION_CALLING, STRUCTURED_OUTPUT, REASONING]
    context_length: 256000
    prices:
      input: 3.00
      cached: 0.75
      output: 15.00

  grok-3:
    description: Excels at enterprise use cases like data extraction, coding, and text summarization
    capabilities: [TEXT, FUNCTION_CALLING, STRUCTURED_OUTPUT]
    context_length: 131072
    prices:
      input: 3.00
      cached: 0.75
      output: 15.00

  grok-3-mini:
    description: A lightweight model that thinks before responding
    capabilities: [TEXT, FUNCTION_CALLING, STRUCTURED_OUTPUT, REASONING]
    context_length: 131072
    prices:
      input: 0.30
      cached: 0.075
      output: 0.5

  grok-3-fast:
    description: Excels at enterprise use cases like data extraction, coding, and text summarization
    capabilities: [TEXT, FUNCTION_CALLING, STRUCTURED_OUTPUT]
    context_length: 131072
    prices:
      input: 5.00
      cached: 1.25
      output: 25.00

  grok-2-vision:
    description: multimodal model that processes documents, diagrams, charts, screenshots, and photographs
    capabilities: [TEXT, IMAGE_INPUT, FUNCTION_CALLING, STRUCTURED_OUTPUT]
    context_length: 32768
    prices:
      input: 2.00
      cached: 0.00
      output: 10.00

DeepSeek:
  deepseek-chat:
    description: deepseek's flagship model for complex tasks
    capabilities: [TEXT, FUNCTION_CALLING, STRUCTURED_OUTPUT]
    context_length: 65536
    max_output_tokens: 8192
    prices:
      input: 0.07
      cached: 0.27
      output: 1.10

  deepseek-reasoner:
    description: deepseek's reasoning model for complex tasks
    capabilities: [TEXT, FUNCTION_CALLING, STRUCTURED_OUTPUT, REASONING]
    context_length: 65536
    max_output_tokens: 65536
    prices:
      input: 0.14
      cached: 0.55
      output: 2.19

Anthropic:
  claude-opus-4.1:
    description: Highest level of intelligence and capability
    capabilities: [TEXT, IMAGE_INPUT, FUNCTION_CALLING, CODE_EXECUTION, EXTENDED_THINKING, REASONING]
    url: https://docs.anthropic.com/en/docs/about-claude/models/overview#model-comparison-table
    context_length: 204800
    max_output_tokens: 32000
    prices:
      input: 15.00
      cached: 1.50
      output: 75.00

  claude-opus-4:
    description: Highest level of intelligence and capability
    capabilities: [TEXT, IMAGE_INPUT, FUNCTION_CALLING, CODE_EXECUTION, EXTENDED_THINKING, REASONING]
    context_length: 204800
    max_output_tokens: 32000
    prices:
      input: 15.00
      cached: 1.50
      output: 75.00

  claude-sonnet-4:
    description: High intelligence and balanced performance
    capabilities: [TEXT, IMAGE_INPUT, FUNCTION_CALLING, CODE_EXECUTION, EXTENDED_THINKING, REASONING]
    context_length: 204800
    max_output_tokens: 64000
    prices:
      input: 3.00
      cached: 0.30
      output: 15.00

MoonShot:
  kimi-latest:
    description: the latest version of the Kimi large model
    capabilities: [TEXT, IMAGE_INPUT, FUNCTION_CALLING, STRUCTURED_OUTPUT, REASONING]
    context_length: 131072
    max_output_tokens: 65536
    prices:
      input: 2.00
      cached: 0.15
      output: 5.00

  kimi-k2:
    description: a Mixture-of-Experts (MoE) foundation model with exceptional coding and agent capabilities
    capabilities: [TEXT, FUNCTION_CALLING, STRUCTURED_OUTPUT, REASONING]
    context_length: 131072
    max_output_tokens: 65536
    prices:
      input: 0.30
      cached: 0.075
      output: 0.5

Doubao:
  doubao-seed-1.6-250615:
    description: 全新多模态深度思考模型，同时支持 thinking、non-thinking、auto三种思考模式
    capabilities: [TEXT, IMAGE_INPUT, VIDEO_INPUT, FUNCTION_CALLING, STRUCTURED_OUTPUT, REASONING]
    context_length: 262144
    max_output_tokens: 32768
    prices:
      input: 2.40
      cached: 0.16
      output: 24.00

  doubao-seed-1.6-flash-250615:
    description: 有极致推理速度的多模态深度思考模型；同时支持文本和视觉理解
    capabilities: [TEXT, IMAGE_INPUT, VIDEO_INPUT, FUNCTION_CALLING, STRUCTURED_OUTPUT, REASONING]
    context_length: 262144
    max_output_tokens: 32768
    prices:
      input: 0.60
      cached: 0.03
      output: 6.00

Zhipu:
  glm-4.5:
    description: 总参数达 3550 亿，激活参数为 320 亿
    capabilities: [TEXT, FUNCTION_CALLING, STRUCTURED_OUTPUT, REASONING]
    context_length: 131072
    max_output_tokens: 98304
    currency: CNY
    prices:
      input: 4
      cached: 0.8
      output: 16

  glm-4.5-air:
    description: 总参数为 1060 亿，激活参数为 120 亿
    capabilities: [TEXT, FUNCTION_CALLING, STRUCTURED_OUTPUT, REASONING]
    context_length: 131072
    max_output_tokens: 98304
    currency: CNY
    prices:
      input: 1.2
      cached: 0.24
      output: 8

  glm-4.5-flash:
    description: 免费 高效 多功能
    capabilities: [TEXT, FUNCTION_CALLING, STRUCTURED_OUTPUT, REASONING]
    context_length: 131072
    max_output_tokens: 98304